Free Preparation Discussions
MENU
Microsoft DP-100 Exam - Topic 8 Question 36 Discussion
Topic #: 8
You are training machine learning models in Azure Machine Learning. You use Hyperdrive to tune the hyperparameters. In previous model training and tuning runs, many models showed similar performance. You need to select an early termination policy that meets the following requirements:
* accounts for the performance of all previous runs when evaluating the current run
* avoids comparing the current run with only the best performing run to date
Which two early termination policies should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
The Median Stopping policy computes running averages across all runs and cancels runs whose best performance is worse than the median of the running averages.
If no policy is specified, the hyperparameter tuning service will let all training runs execute to completion.
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.hyperdrive.banditpolicy
Lou
4 months agoHalina
4 months agoBuck
5 months agoIesha
5 months agoRonna
5 months agoPilar
5 months agoCordelia
5 months agoChaya
5 months agoGearldine
5 months agoCarin
5 months agoTy
5 months ago